Trading Strategy Templates
Curated multi-screener stacks that combine 3–5 StockeZee screeners into a complete trade playbook — entry rules, stop-loss, target and when it fails. For education only.
Momentum Swing Setup
Swing · Bullish
Stack NR7 compression with a 20-EMA-cross-50 trend and above-average volume to find swing-trade candidates ready to break out of their tightest 7-day range inside a confirmed uptrend.
Open playbookIntraday ORB Stack
Intraday · Bullish
Combine Opening Range Breakout, Above-VWAP filter and Top Gainers ranking to find the day's cleanest intraday momentum candidates with institutional support.
Open playbookReversal Hunter
Swing · Bullish (reversal)
Stack Bullish RSI Divergence with a bullish reversal candle and a support level (S1 pivot or Fibonacci 61.8) for the highest-conviction reversal setups in the Indian market.
Open playbookQuality + Value Portfolio
Positional / long-term · Bullish (multi-year)
Stack Undervalued, Quality Scorecard ≥ 7, ROCE > 15, D/E < 1 and Market Cap > ₹5000 Cr to build a portfolio of high-quality NSE businesses at reasonable prices — the long-term compounder framework.
Open playbookBreakout Trader
Swing / positional · Bullish (momentum)
Stack 52-week high breakouts with Volume Shocker confirmation and price above the 50 EMA to capture the strongest, most-watched breakouts on NSE.
Open playbookShort Setup
Swing (positional shorts) · Bearish
Stack bearish moving-average crossovers, price below the 200 EMA and bearish MACD signals to find short candidates with multi-timeframe alignment.
Open playbookWhat is a trading strategy template?
A trading strategy template is a pre-built combination of 3–5 screeners stacked into a single playbook with explicit entry rules, stop-loss, target and a candid 'when this fails' note. A single screener tells you which stocks meet one condition; a strategy template tells you which stocks meet a complete trade thesis. The work the template removes is the hardest work in trading — deciding which signals actually combine into an edge instead of cancelling each other out.
How to pick the right strategy for your style
Match the strategy to the holding period you can actually monitor. Intraday strategies (ORB stack) need you watching the screen at the open and through the first 90 minutes. Swing setups (Momentum Swing) want a daily check at 15:25 IST. Positional and portfolio strategies (Quality Value Portfolio) want a monthly rebalance, no daily action. Picking an intraday playbook when you can only check the market at lunch is the #1 reason new traders blow up.
Match the strategy to the market regime. Trend-following strategies (Momentum Swing, Breakout Trader) work in directional markets and chop in range-bound ones. Mean-reversion strategies (Reversal Hunter) do the opposite. Look at the Nifty 50 daily chart — if it's been in a clean trend for 6+ weeks, prefer trend strategies; if it's been chopping inside a 4–5% range, prefer reversal setups.
Position-size to the worst-case loss, not the typical loss. Every strategy here has a 'fails when' section listing the specific conditions that produce its worst losses. Read it before sizing. The same playbook can be a 0.5R loss in a normal market and a 3R loss when a stated failure mode triggers.
Strategy templates are not signals
Each playbook is an educational framework, not a live tip. The screeners that feed each strategy refresh continuously, but whether a given match becomes a trade depends on your own confirmation, sizing and risk tolerance. Every strategy page ends with a YMYL disclaimer for a reason. Treat the strategies as starting points to design your own variant — most experienced traders run 2–3 variations of the same template tailored to their account size, holding period and risk budget.
How to use the strategy library
- 1Open one strategy that matches your style and read the full playbook end-to-end — entry, stop, target, and especially the "fails when" section.
- 2Click each component screener to see today's live matches against that single condition.
- 3Find stocks that appear on every component of the stack — those are the high-conviction candidates the strategy is designed to surface.
- 4Sanity-check the broader market regime (Nifty trend, sector breadth) before placing the trade — strategies fail when the regime contradicts them.
- 5Track outcomes for 20–30 trades per strategy before judging it. Below that sample size, randomness dominates results.
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